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ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses
Single-cell omics enables researchers to dissect biological systems at a resolution that was unthinkable just 10 years ago. However, this analytical revolution also triggered new demands in ‘big data’ management, forcing researchers to stay up to speed with increasingly complex analytical processes...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319583/ https://www.ncbi.nlm.nih.gov/pubmed/32449934 http://dx.doi.org/10.1093/nar/gkaa412 |
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author | David, Fabrice P A Litovchenko, Maria Deplancke, Bart Gardeux, Vincent |
author_facet | David, Fabrice P A Litovchenko, Maria Deplancke, Bart Gardeux, Vincent |
author_sort | David, Fabrice P A |
collection | PubMed |
description | Single-cell omics enables researchers to dissect biological systems at a resolution that was unthinkable just 10 years ago. However, this analytical revolution also triggered new demands in ‘big data’ management, forcing researchers to stay up to speed with increasingly complex analytical processes and rapidly evolving methods. To render these processes and approaches more accessible, we developed the web-based, collaborative portal ASAP (Automated Single-cell Analysis Portal). Our primary goal is thereby to democratize single-cell omics data analyses (scRNA-seq and more recently scATAC-seq). By taking advantage of a Docker system to enhance reproducibility, and novel bioinformatics approaches that were recently developed for improving scalability, ASAP meets challenging requirements set by recent cell atlasing efforts such as the Human (HCA) and Fly (FCA) Cell Atlas Projects. Specifically, ASAP can now handle datasets containing millions of cells, integrating intuitive tools that allow researchers to collaborate on the same project synchronously. ASAP tools are versioned, and researchers can create unique access IDs for storing complete analyses that can be reproduced or completed by others. Finally, ASAP does not require any installation and provides a full and modular single-cell RNA-seq analysis pipeline. ASAP is freely available at https://asap.epfl.ch. |
format | Online Article Text |
id | pubmed-7319583 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-73195832020-07-01 ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses David, Fabrice P A Litovchenko, Maria Deplancke, Bart Gardeux, Vincent Nucleic Acids Res Web Server Issue Single-cell omics enables researchers to dissect biological systems at a resolution that was unthinkable just 10 years ago. However, this analytical revolution also triggered new demands in ‘big data’ management, forcing researchers to stay up to speed with increasingly complex analytical processes and rapidly evolving methods. To render these processes and approaches more accessible, we developed the web-based, collaborative portal ASAP (Automated Single-cell Analysis Portal). Our primary goal is thereby to democratize single-cell omics data analyses (scRNA-seq and more recently scATAC-seq). By taking advantage of a Docker system to enhance reproducibility, and novel bioinformatics approaches that were recently developed for improving scalability, ASAP meets challenging requirements set by recent cell atlasing efforts such as the Human (HCA) and Fly (FCA) Cell Atlas Projects. Specifically, ASAP can now handle datasets containing millions of cells, integrating intuitive tools that allow researchers to collaborate on the same project synchronously. ASAP tools are versioned, and researchers can create unique access IDs for storing complete analyses that can be reproduced or completed by others. Finally, ASAP does not require any installation and provides a full and modular single-cell RNA-seq analysis pipeline. ASAP is freely available at https://asap.epfl.ch. Oxford University Press 2020-07-02 2020-05-25 /pmc/articles/PMC7319583/ /pubmed/32449934 http://dx.doi.org/10.1093/nar/gkaa412 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Web Server Issue David, Fabrice P A Litovchenko, Maria Deplancke, Bart Gardeux, Vincent ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses |
title | ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses |
title_full | ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses |
title_fullStr | ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses |
title_full_unstemmed | ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses |
title_short | ASAP 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses |
title_sort | asap 2020 update: an open, scalable and interactive web-based portal for (single-cell) omics analyses |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7319583/ https://www.ncbi.nlm.nih.gov/pubmed/32449934 http://dx.doi.org/10.1093/nar/gkaa412 |
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